group_df <- tibble(
id = 1:1000,
height = rnorm(1000, 170, 6),
weight = rnorm(1000, 80, 10),
eye_colour = sample(c("Blue", "Green", "Brown", "Grey"),
1000,
replace = T)
)
group_df# A tibble: 1,000 × 4
id height weight eye_colour
<int> <dbl> <dbl> <chr>
1 1 169. 58.8 Grey
2 2 172. 104. Grey
3 3 173. 93.7 Grey
4 4 165. 77.6 Brown
5 5 169. 65.3 Green
6 6 161. 85.1 Grey
7 7 180. 73.4 Grey
8 8 172. 71.3 Green
9 9 167. 81.1 Green
10 10 167. 75.1 Green
# ℹ 990 more rows